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Parag Jain
MSc. in Computer Science, Mila - Quebec Artificial Intelligence Institute | Ex-Intel
About
Parag Jain is a Deep Learning Software Engineer at Intel Corporation with over 5.85 years of relevant experience. He is currently an Incubatee at jito incubation & innovation foundation, where he attended a bootcamp to incubate his startup named nammaBus. Parag conducted market research to assess the market size through publicly available resources and created customer personas to identify the target customer segment. He also presented a 60-second elevator pitch to investors conveying the value proposed to the consumer and key differentiators of the service as compared to competitors. Parag developed a business model that provides value to both partners in the ecosystem and passengers of public bus transport. Parag has worked with Intel's Internet of Things (IOT) Group, enabling high-touch Independent Software Vendors (ISV) and System Integrators (SI) with development, deployment, and optimization of industry-oriented deep learning end-use cases for Edge devices on CPUs, GPUs, VPUs, and accelerators using Intel OpenVINO toolkit. He assessed and recommended the most appropriate precision levels for models deployed, depending on workload, acceptable performance KPIs, and cost-effectiveness. Parag also proposed a framework for AI-based software products. Parag's technical expertise includes Deep Learning, Software Engineering, AI, Android, Research Science, Keras, OpenCV, Docker, TensorFlow, PyTorch, and Integration. He holds a Bachelor of Technology in Computer Science from PES University, where he graduated in 2018. Parag has also worked on system integration and validation of a Linux-based laptop, where he built Linux kernel and OS from source and interacted with BIOS with OS using ACPI.
Education Overview
• pes university
Companies Overview
• dreeven technologies
• jito incubation innovation foundation
• intel
• pes university
• centre of data science and applied machine learning
• accenture
• mantra.ai
• center for cloud computing and big data
• kanoe center for knowledge analytics and ontological engineering
• microsoft mobile innovation lab
Experience Overview
3.9 Years
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